NVIDIA launches Minerva for AI factory operations

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NVIDIA Minerva for AI operations

Highlights

NVIDIA launches Minerva, an AIOps platform that integrates telemetry across AI infrastructure, analyzing billions of data points per hour using AI models for operational insight.
Minerva enables dynamic mapping of GPUs, networking, storage and workloads, identifies slow training causes, predicts failures, and consolidates incident alerts for operators managing large GPU environments.
IREN uses Minerva for unified AI operations, while Aolani, Bitdeer AI, IBM, Jio, Lambda, Quake AI and Tesla plan to deploy it, with Dell Technologies, Lenovo and Supermicro integrating it into their portfolios.

Platform links telemetry across AI infrastructure

As reported by NVIDIA Newsroom, Minerva launches as a new AIOps platform that combines telemetry from infrastructure and AI workloads, then uses purpose-built AI models to turn that data into operational insight.

The platform is built around AI factory yield, which NVIDIA describes through measures including GPU hours, goodput, cluster uptime and token production. It is intended to address the fragmented monitoring common in data centers, where networking, compute, site reliability and machine learning teams often work from separate views of the same operation.

Minerva connects signals across NVIDIA GPUs, networking, storage, schedulers and workloads. It builds a dynamic knowledge graph that maps hardware such as GPUs, SuperNICs, switches and cables alongside the jobs running on that infrastructure, allowing operators to trace slow training performance to a specific component even in very large GPU environments.

NVIDIA says the platform analyzes billions of data points per hour using supervised and unsupervised machine learning. It learns normal behavior, flags new anomalies, predicts emerging failures and groups related alerts into a single incident with a likely root cause, rather than sending operators a large volume of separate warnings.

Partners plan deployments as AI operations expand

Minerva also includes a native AI assistant and can connect with external agentic AI tools, giving operators a natural-language interface tied to live telemetry. Teams can investigate cluster health, receive recommended remediation steps and either apply fixes manually or link the platform to automation through infrastructure APIs and external systems.

NVIDIA says these capabilities can help AIOps teams shift from reactive maintenance toward proactive operations, with the aim of extending time between interruptions, cutting repair times and reducing unnecessary alerts. The company positions the product as a way to maximize GPU uptime as AI factories scale.

IREN is already using Minerva to optimize its AI factories, with Chief Technology Officer Denis Skrinnikoff saying the platform gives the company a unified view of networks, GPUs and jobs. NVIDIA says Aolani, Bitdeer AI, IBM, Jio, Lambda, Quake AI and Tesla plan to deploy the platform, while Dell Technologies, Lenovo and Supermicro will offer Minerva within their AI factory operations portfolios.

In our earlier coverage of mounting pressures on U.S. AI data center buildouts, we examined how rising financing costs, construction delays and power-grid constraints are slowing expansion plans. We also noted that investor confidence is becoming more fragile as projects face cost overruns and local opposition, raising doubts about how quickly new computing capacity can come online.

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